Annalisa Ruggeri
About
Annalisa Ruggeri is a scholar working on Hematology, Oncology and Public Health, Environmental and Occupational Health.
According to data from OpenAlex, Annalisa Ruggeri has authored 207 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Hematology, 70 papers in Oncology and 56 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Annalisa Ruggeri's work include Hematopoietic Stem Cell Transplantation (154 papers), Acute Myeloid Leukemia Research (61 papers) and Acute Lymphoblastic Leukemia research (55 papers). Annalisa Ruggeri is often cited by papers focused on Hematopoietic Stem Cell Transplantation (154 papers), Acute Myeloid Leukemia Research (61 papers) and Acute Lymphoblastic Leukemia research (55 papers). Annalisa Ruggeri collaborates with scholars based in France, Italy and Spain. Annalisa Ruggeri's co-authors include Éliane Gluckman, Fabio Ciceri, Mohamad Mohty, Myriam Labopin, Arnon Nagler, Vanderson Rocha, Vanderson Rocha, Alberto Zangrillo, Patrizia Rovere‐Querini and Lorenzo Dagna and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.
In The Last Decade
Annalisa Ruggeri
190 papers receiving 5.5k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Annalisa Ruggeri France | 38 | 3.3k | 1.5k | 1.3k | 1.3k | 1.0k | 207 | 5.6k | ||
| Yi‐Bin Chen United States | 35 | 2.1k 0.6× | 1.5k 1.0× | 683 0.5× | 1.1k 0.9× | 795 0.8× | 197 | 4.9k | ||
| Daniel Wolff Germany | 35 | 2.9k 0.9× | 1.3k 0.9× | 483 0.4× | 1.3k 1.0× | 658 0.6× | 214 | 5.0k | ||
| Régis Peffault de Latour France | 51 | 4.5k 1.4× | 1.8k 1.2× | 586 0.5× | 3.7k 2.9× | 1.5k 1.5× | 384 | 8.6k | ||
| Agnès Buzyn France | 44 | 3.0k 0.9× | 1.5k 1.0× | 483 0.4× | 1.0k 0.8× | 951 0.9× | 137 | 5.7k | ||
| Mehdi Hamadani United States | 37 | 2.5k 0.8× | 3.4k 2.3× | 275 0.2× | 1.1k 0.9× | 890 0.9× | 411 | 6.2k | ||
| Ibrahim Yakoub‐Agha France | 47 | 4.7k 1.4× | 2.8k 1.9× | 337 0.3× | 1.6k 1.3× | 1.1k 1.1× | 407 | 7.6k | ||
| Irit Avivi Israel | 40 | 1.0k 0.3× | 2.0k 1.3× | 480 0.4× | 740 0.6× | 582 0.6× | 247 | 4.6k | ||
| Maria Teresa Van Lint Italy | 47 | 4.7k 1.4× | 1.7k 1.1× | 624 0.5× | 1.5k 1.1× | 1.1k 1.1× | 133 | 6.4k | ||
| Takehiko Mori Japan | 40 | 2.2k 0.7× | 1.3k 0.8× | 376 0.3× | 879 0.7× | 576 0.6× | 303 | 5.0k | ||
| Mohamed A. Kharfan‐Dabaja United States | 34 | 2.2k 0.7× | 1.7k 1.2× | 227 0.2× | 947 0.7× | 882 0.9× | 313 | 4.5k |
Countries citing papers authored by Annalisa Ruggeri
Since
Specialization
Citations
This map shows the geographic impact of Annalisa Ruggeri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Annalisa Ruggeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annalisa Ruggeri more than expected).
Fields of papers citing papers by Annalisa Ruggeri
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Annalisa Ruggeri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Annalisa Ruggeri. The network helps show where Annalisa Ruggeri may publish in the future.
Co-authorship network of co-authors of Annalisa Ruggeri
This figure shows the co-authorship network connecting the top 25 collaborators of Annalisa Ruggeri. A scholar is included among the top collaborators of Annalisa Ruggeri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Annalisa Ruggeri. Annalisa Ruggeri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Wynn, Robert, Fernanda Volt, Philippe Guardiola, et al.. (2025). Impact of shared HLA determinants between patient and losing cord blood unit on relapse after double cord blood transplantation. Blood Advances. 9(17). 4425–4435.
2.
Malard, Florent, Ernst Holler, Zinaida Perić, et al.. (2025). Microbiotherapy and fecal microbiota transplantation in hematology-oncology: a European clinical perspective to navigate the evolving regulatory framework and the emergence of a new therapeutic class. Bone Marrow Transplantation. 61(2). 125–127.
3.
Greco, Raffaella, Annalisa Ruggeri, Donal P. McLornan, et al.. (2025). Indications for haematopoietic cell transplantation and CAR-T for haematological diseases, solid tumours and immune disorders: 2025 EBMT practice recommendations. Bone Marrow Transplantation. 60(11). 1499–1525.
4.
Battipaglia, Giorgia, Claudia Wehr, Rick Admiraal, et al.. (2025). Usage of rabbit anti-thymocyte / anti-T-lymphocyte globulins (ATG / ATLG) for hematological malignancies in allogeneic hematopoietic cell transplantation: Best practice recommendations from the EBMT Practice Harmonisation and Guidelines Committee. Bone Marrow Transplantation. 61(2). 128–141.
5.
Pagliuca, Simona, Christoph Schmid, Nicole Santoro, et al.. (2024). Donor lymphocyte infusion after allogeneic haematopoietic cell transplantation for haematological malignancies: basic considerations and best practice recommendations from the EBMT. The Lancet Haematology. 11(6). e448–e458.
6.
Passweg, Jakob, Helen Baldomero, Fabio Ciceri, et al.. (2024). Hematopoietic cell transplantation and cellular therapies in Europe 2022. CAR-T activity continues to grow; transplant activity has slowed: a report from the EBMT. Bone Marrow Transplantation. 59(6). 803–812.
7.
Passweg, Jakob, Helen Baldomero, Tobias Alexander, et al.. (2024). Utilization of hematopoietic cell transplantation and cellular therapy technology in Europe and associated Countries. Using the 2022 activity survey data to correlate with economic and demographic factors. A report from the EBMT. Bone Marrow Transplantation. 60(2). 227–236.
8.
Yakoub‐Agha, Ibrahim, Raffaella Greco, Francesco Onida, et al.. (2023). Practice harmonization workshops of EBMT: an expert-based approach to generate practical and contemporary guidelines within the arena of hematopoietic cell transplantation and cellular therapy. Bone Marrow Transplantation. 58(6). 696–700.
9.
Klein, Orly R., Carmem Bonfim, Allistair Abraham, et al.. (2023). Transplant for non-malignant disorders: an International Society for Cell & Gene Therapy Stem Cell Engineering Committee report on the role of alternative donors, stem cell sources and graft engineering. Cytotherapy. 25(5). 463–471.
10.
Baron, Frédéric, Annalisa Ruggeri, Christophe Peczynski, et al.. (2023). Outcomes of graft failure after umbilical cord blood transplantation in acute leukemia: a study from Eurocord and the Acute Leukemia Working Party of the EBMT. Bone Marrow Transplantation. 58(8). 936–941.
11.
Kurtzberg, Joanne, Jesse D. Troy, Kristin Page, et al.. (2023). Unrelated Donor Cord Blood Transplantation in Children: Lessons Learned Over 3 Decades. Stem Cells Translational Medicine. 12(1). 26–38.
12.
Abraham, Allistair, Alice Bertaina, Senthil Velan Bhoopalan, et al.. (2023). International Society for Cell & Gene Therapy Stem Cell Engineering Committee: Cellular therapies for the treatment of graft-versus-host-disease after hematopoietic stem cell transplant. Cytotherapy. 25(6). 578–589.
13.
Landoni, Giovanni, et al.. (2021). Estimating SARS-CoV-2 infection fatality rate using data from one of the most affected areas worldwide. Signa Vitae.
14.
Baron, Frédéric, Myriam Labopin, Jan J. Cornelissen, et al.. (2021). Comparison of long-term outcome for AML patients alive free of disease 2 years after allogeneic hematopoietic cell transplantation with umbilical cord blood versus unrelated donor: a study from the ALWP of the EBMT. Bone Marrow Transplantation. 56(11). 2742–2748.
15.
Ruggeri, Annalisa, Myriam Labopin, Emanuele Angelucci, et al.. (2021). Prognostic factors for neutrophil engraftment after haploidentical cell transplantation with PT-Cy in patients with acute myeloid leukemia in complete remission, on behalf of the ALWP-EBMT. Bone Marrow Transplantation. 56(8). 1842–1849.
16.
Battipaglia, Giorgia, Florent Malard, Marie Thérèse Rubio, et al.. (2019). Fecal microbiota transplantation before or after allogeneic hematopoietic transplantation in patients with hematologic malignancies carrying multidrug-resistance bacteria. Haematologica. 104(8). 1682–1688.
17.
Stocker, Nicolas, Rémy Duléry, Giorgia Battipaglia, et al.. (2019). Impact of cyclosporine A concentration on acute graft‐vs‐host disease incidence after haploidentical hematopoietic cell transplantation. European Journal Of Haematology. 103(1). 10–17.
18.
Hayashi, Hiromi, Annalisa Ruggeri, Fernanda Volt, et al.. (2018). Chronic graft-versus-host disease features in double unit cord blood transplantation according to National Institutes of Health 2005 cGVHD Consensus criteria. Bone Marrow Transplantation. 53(4). 417–421.
19.
Shouval, Roni, Annalisa Ruggeri, Myriam Labopin, et al.. (2017). An Integrative Scoring System for Survival Prediction Following Umbilical Cord Blood Transplantation in Acute Leukemia. Clinical Cancer Research. 23(21). 6478–6486.
20.
Baron, F, Annalisa Ruggeri, Eric Beohou, et al.. (2016). Impact of dose intensity on unrelated cord blood transplantation outcomes in adults patients with acute leukemia: A Report from Eurocord, the ALWP and the Cord Blood Committee of the CTIWP of the EBMT. Bone Marrow Transplantation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
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